Events

Speaker Series

Self-Tracking as Informal, Enactive Learning Through the Body

Xi Lu.

Wednesday, October 29, 2025
UB North Campus, Lockwood 205
12:00-1:00 p.m. Lunch will be provided

Xi Lu, PhD, is an Assistant Professor at the University at Buffalo in the Information Science Department, jointly with the Computer Science & Engineering Department. She conducts extensive research at the intersection of human-computer interaction and personal informatics, focusing on designing and studying self-tracking technologies that promote health and wellness. Her work extends beyond individual use to explore how socio-cultural contexts shape people’s technology practices and needs. She is particularly interested in stigmatized health domains, such as women’s health and public health crises, where both healthcare systems and the technology industry often marginalize individuals. Her research appears regularly in leading HCI venues—ACM CHI, CSCW, IMWUT, and DIS—and includes a CHI 2025 Best Paper Award. 

Learning and Identity and the Intersections of Community, Data Science and Environmental Justice

Carrie Allen.

Wednesday, November 12, 2025
UB North Campus, Lockwood 205
12:00-1:00 p.m. Lunch will be provided

Carrie Allen, PhD, is an associate professor of Learning Sciences at the University of North Texas (UNT). She is a co-director of the Learning Institute - a research institute at UNT that advances interdisciplinary scholarship in the learning sciences and aims to bridge research and practice. Additionally, she is the associate director of the Advanced Environmental Research Institute (AERI), which catalyzes research and outreach connected to human and environmental relationships. Furthermore, she is the Director of Partnerships for the Office of Research Consulting and Texas Research and Evaluation Network for Development (TREND), which supports research-practice partnerships in K-12 education in the North Texas region.  

Her work is principally driven by the desire to address inequities within educational systems, with particular attention to socially just and equitable learning designs in STEM education. Through her scholarship, she aims to make visible existing inequalities, develop and utilize designs for equitable learning environments, and foster deep, humanizing relationships that support a revisioning of possibilities for teaching and learning. Guiding this work are perspectives that help theorize how local phenomena are mediated by broader structures, histories and enduring sociocultural practices; the ingenuity and agency of local actors; and designs that facilitate lasting change within teaching and learning. Toward this work, she employs qualitative, design-based and participatory research methodologies in order to design with and for youth and educators, centering their local expertise toward bringing about transformative learning and institutional change. Allen's research has been published in journals such as the "Journal of Learning Sciences," "Journal of Teacher Education," "Journal of Research in Science Teaching," and AERJ.

Abstract: In this talk, Allen will present work she and her partners are engaged in at the University of North Texas that aims to create connected learning experiences for local youth and educators around pressing social and environmental needs in the region. Their project - called Engaging in Mentorship with Emerging Researchers(EMPWER) – is a participatory design research project focused on data science and STEM research practices as a means to pursue environmental and social justice through community-engaged projects. Using critical ethnography and case study methodologies, the research team has been exploring relational dynamics, learning and identity work among the project team, which included high school youth, science educators, graduate students and university faculty, as they negotiated meanings and action related to local research projects. Allen will share some findings from this work and implications for designing networked learning experiences that foster agency toward addressing complex issues and social design toward desired futures. 

Pioneering AI for Personalized Education: Designing Human-Centered Systems for Speech and Language Learning

Qingxiao Zheng, PhD.

Thursday, December 4, 2025
UB South Campus, Foster Hall 135
12:00-1:00 p.m. Lunch will be provided

Qingxiao Zheng, PhD, is a postdoctoral associate at the Institute for Artificial Intelligence and Data Science at the University at Buffalo. Her research sits at the intersection of human–computer interaction and the social dimensions of AI, focusing on designing and evaluating AI applications and services that enhance human training and public service delivery. She is interested in how diverse stakeholders collaborate with AI across low- and high-stakes domains, where systems must balance complexity, transparency, and trust to serve both expert and non-expert usersZheng has published in leading HCI venues such as ACM CHI and CSCW and has served widely across ACM conferences, including CHI, CSCW, DIS, IDC, and IMWUT, where she has been recognized for outstanding service.

Her work has been supported by the NSF, IES, IMLS, and industry partners such as Google.org and IBM–Illinois. She earned her PhD from the School of Information Sciences at the University of Illinois Urbana–Champaign.

Abstract: At the National AI Institute for Exceptional Education at the University at Buffalo, Zheng's research focuses on designing, developing and evaluating human-centered AI systems that advance special education by extending the reach and effectiveness of speech and language services for children with developmental differences. In this talk, she will discuss how AI can augment expert capacity in both home and school settings—supporting parents in applying evidence-based strategies during everyday interactions with their children, and assisting speech-language pathologists in creating individualized interventions while managing heavy documentation demands. These projects demonstrate how AI can be designed to scale expertise responsibly, preserve empathy and professional judgment, and promote more inclusive and sustainable models of learning experience for all children.

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